Titlebook: Self-Organizing Maps; Teuvo Kohonen Book 2001Latest edition Springer-Verlag Berlin Heidelberg 2001 Adaptive and Learning Networks.Adaptive

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Mathematical Preliminaries,In this book we shall be dealing with neural networks, artificial and biological. For their qualitative and quantitative description we must set up analytical (mathematical) system models. Many cognitive functions cannot be interpreted at all until one understands the nature of collective interactions between elements in a complex system.

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Teuvo KohonenBest-selling key reference.Completely revised and brought up-to-date.Includes supplementary material:

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Applications,dundant sensory signals. On the other hand, in the control of effectors or actuators (muscles, motors, etc.) one often has to coordinate many mutually dependent and redundant signals. In both cases, neural networks can be used to implement a great number of implicitly or otherwise poorly defined transformations between the variables.

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0720-678X ow discussed in one main section, and derivation of the pointdensity of the codebook vectors using the calculus of variations has been added, in order to familiarize the reader with this otherwise com­ plicated statistical analysis. It was also felt that the dis978-3-540-67921-9978-3-642-56927-2Series ISSN 0720-678X

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Teuvo Kohonenthat will lead us to future discoveries. Written in the highly successful .Methods in Molecular Biology™. series format, chapters include introductions to their respective topics, lists of the necessary materia978-1-4939-6009-5978-1-62703-351-0Series ISSN 1064-3745 Series E-ISSN 1940-6029

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Teuvo Kohonenthat will lead us to future discoveries. Written in the highly successful .Methods in Molecular Biology™. series format, chapters include introductions to their respective topics, lists of the necessary materia978-1-4939-6009-5978-1-62703-351-0Series ISSN 1064-3745 Series E-ISSN 1940-6029

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